Speaker
Seb Wilkes
(University of Oxford)
Description
Differentiable modelling has garnered significant interest in the accelerator physics community, but literature is lacking on its specific application to synchrotron dynamics. In principle, access to the gradients should reduce the number of trials required in an optimisation loop. As a 'real test case', we want to optimise the best set of beam perturbations to achieve the goals of 'Pulse Picking By Resonant Excitation' -- a mode of operation that caters to timing-mode users. By comparing the application of gradient-descent methods, using gradients computed from JAX, to gradient-free methods, I discuss the applicability of each approach.
Primary Keyword | differentiable models |
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Secondary Keyword | bayesian optimization |
Primary author
Seb Wilkes
(University of Oxford)